iPhone 16 Pro Max
Geekbench AI Score
4436
Single Precision Score
7527
Half Precision Score
6033
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | dguetzkow |
| Upload Date | April 09 2026 04:25 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1971
366.5 IPS |
|
|
Image Classification (HP)
|
100% |
3442
640.1 IPS |
|
|
Image Classification (Q)
|
96% |
2311
431.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1711
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2738
44.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3228
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8567
10.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
16365
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14365
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2228
176.7 IPS |
|
|
Object Detection (HP)
|
97% |
3677
292.8 IPS |
|
|
Object Detection (Q)
|
94% |
2562
204.2 IPS |
|
|
Face Detection (SP)
|
100% |
3522
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
6796
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
3886
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7855
60.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13426
103.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9346
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20855
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35455
45.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28932
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5273
194.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7085
261.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5013
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
3694
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6192
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6133
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4080
70.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7256
125.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7207
124.5 IPS |
